Results 211 to 220 of about 12,455,841 (338)

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

PhaseXplorer Creates High-Dimensional Phase Diagrams with Closed-Loop Active Learning. [PDF]

ACS Nano
Jansen SAH, Dreyer LSA, van Basten J, Yao Y, Otzen DE, de Greef TFA, Knowles TPJ, Meijer EW, Erkamp NA.   +8 more
europepmc   +1 more source

Penerapan Strategi Pembelajaran Active Learning tipe Team Quiz Untuk Meningkatkan prestasi Belajar Mata Pelajaran IPS Pada Siswa kelas IV Di Madrasah Ibtidaiyah Negeri Mergayu Bandung Tulungagun [PDF]

, 2014
Andrik, Purniawan
openalex  

Semi-Supervised Variational Adversarial Active Learning via Learning to Rank and Agreement-Based Pseudo Labeling [PDF]

Zongyao Lyu, William J. Beksi
openalex   +1 more source

Complex Cryptographic and User‐Centric Physically Unclonable Functions Enabled by Strain‐Sensitive Nanocrystals via Selective Ligand Exchange

Advanced Functional Materials, EarlyView.
This study investigates electromechanical PUFs that improve on traditional electric PUFs. The electron transport materials are coated randomly through selective ligand exchange. It produces multiple keys and a key with motion dependent on percolation and strain, and approaches almost ideal inter‐ and intra‐hamming distances.
Seungshin Lim, Hanseok Seo, Taesung Park, Byung Ku Jung, Junhyeok Park, Young Kyun Choi, Dae Yang Oh, Soong Ju Oh   +7 more
wiley   +1 more source

Analogue Play in the Age of AI: A Scoping Review of Non-Digital Games as Active Learning Strategies in Higher Education. [PDF]

Behav Sci (Basel)
Conway E, Smith R.
europepmc   +1 more source

Combined Active and Semi-supervised Learning Using Particle Walking Temporal Dynamics

, 2013
Fabrício Breve
openalex   +2 more sources

Active pedagogy in university e-learning for the construction of Social and Emotional Skills

, 2023
Safae AZAOUI, Abdelaziz Boumahdi
openalex   +2 more sources

Human Active Learning

, 2019
openaire   +3 more sources

Ice Lithography: Recent Progress Opens a New Frontier of Opportunities

Advanced Functional Materials, EarlyView.
This review focuses on recent advancements in ice lithography, including breakthroughs in compatible precursors and substrates, processes and applications, hardware, and digital methods. Moreover, it offers a roadmap to uncover innovation opportunities for ice lithography in fields such as biological, nanoengineering and microsystems, biophysics and ...
Bingdong Chang, Gwendoline A. E. Anand, Rubaiyet Haque, Dylan A. Chiaro, Mona Sharma, Andrew R. Williams, Frank Niklaus, Daryl W. Yee, Gavin M. King, Anpan Han   +9 more
wiley   +1 more source